8782 Open source projects that are alternatives of or similar to Agile_data_code_2

Wirbelsturm is a Vagrant and Puppet based tool to perform 1-click local and remote deployments, with a focus on big data tech like Kafka.

Code examples that show to integrate Apache Kafka 0.8+ with Apache Storm 0.9+ and Apache Spark Streaming 1.1+, while using Apache Avro as the data serialization format.

Fundamentals of Spark with Python (using PySpark), code examples

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

Python Helper library for Jupyter Notebooks

Introduction to Data Science

I will update this repository to learn Machine learning with python with statistics content and materials

A repo with tutorials for algorithms from scratch

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

Data science and Big Data with Python

Interactive and Reactive Data Science using Scala and Spark.

Support content for my blog

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Zeek Analysis Tools (ZAT): Processing and analysis of Zeek network data with Pandas, scikit-learn, Kafka and Spark

Learn advanced data science on real-life, curated problems

A site that displays up to date COVID-19 stats, powered by fastpages.

R package to interface with OpenML

Explore and analyse your Home Assistant data

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Apache Spark Connector for Azure Cosmos DB

Content for architecting a data science platform for products using Luigi, Spark & Flask.

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

Applying Data Science and Machine Learning to Solve Real World Business Problems

A day to day plan for this challenge. Covers both theoritical and practical aspects

A curated list of Pulsar tools, integrations and resources.

Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

Python tools for data analysis

Pandas and Spark DataFrame comparison for humans

Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-20. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-19.

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

🐍 Quick reference guide to common patterns & functions in PySpark.

Projeto de análise de contratos com suspeita de superfaturamento e má qualidade na prestação de serviços.

Word2Vec models with Twitter data using Spark. Blog:

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

🎓 Jupyter notebooks from UFC data science course

Datasets, tools, and benchmarks for representation learning of code.

🐳📊🤓Cookiecutter template to launch an awesome dockerized Data Science toolstack (incl. Jupyster, Superset, Postgres, Minio, AirFlow & API Star)

Lending Club Loan data analysis

When Apache Pulsar meets Apache Spark

A guide on how to set up Jupyter with Pyspark painlessly on AWS EC2 clusters, with S3 I/O support

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

The "Python Machine Learning (1st edition)" book code repository and info resource

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

A repository to keep track of all the code that I end up writing for my blog posts.

Web scrapping and related analytics using Python tools

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

IPython widgets, interactive plots, interactive machine learning

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

Udacity Data Engineering Nano Degree (DEND)

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

An end-to-end GoodReads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform.

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

model-describer : Making machine learning interpretable to humans

Griffon Data Science Virtual Machine

🚀 Azkarra is a lightweight java framework to make it easy to develop, deploy and manage cloud-native streaming microservices based on Apache Kafka Streams.

Curso de Data Science em Português

A list about Apache Kafka